Results 151 to 160 of about 4,738 (165)

Estimation of fine-resolution PM2.5 concentrations using the INLA-SPDE method

Atmospheric Pollution Research, 2023
Jingna Chen, Changhong Miao, Dongyang Yang, Yong Liu, Hang Zhang, Guanpeng Dong   +5 more
openaire   +1 more source

Connected Threads: Africa, HIV and Intimate Partner Violence Using the INLA-SPDE Approach

This work aims at evaluating the relationship between intimate partner violence (IPV) and HIV using survey data from Zambia and Zimbabwe— specifically, data from the Demographic and Health Survey. Sub-Saharan Africa’s population is strongly affected both by HIV and IPV.
Arcaio, Micaela, Parroco, Anna Maria
openaire   +1 more source

Spatiotemporal modeling of soil organic matter in the black soil area of Northeast China with INLA-SPDE and remote sensing data

Spatiotemporal variation of soil organic matter (SOM) contents was significant to research on global warming, greenhouse effect, and ecosystem health and quality. However, the spatiotemporal modeling for soil properties in most studies focused on a discrete-time calibration and validation, and faced the problems of missing observations.
Wenjun Ji, Qing Yu, Baoguo Li, Yuanfang Huang, Yang Yan   +4 more
openaire   +1 more source

High resolution 3-D mapping of soil organic carbon at field-scale with multi-source proximal sensing data fusion and INLA-SPDE

Soil organic carbon (SOC) plays an important role in the carbon cycling of terrestrial ecosystems, and smallholder quantification of soil carbon stocks also has significant contribution to greenhouse gas emission, especially in black soil areas. The objective of this study was to evaluate a strategy for assessing soil organic carbon using 3D digital ...
Wenjun Ji, Ye Hao, Baoguo Li, Yang Yan, Yuanfang Huang, Zhou Shi, Jianxin Yin, Tusheng Ren, Hu Zhou   +8 more
openaire   +1 more source

Employing integrated nested laplace approximation with stochastic partial differential equation (INLA-SPDE) modeling for sub-seasonal flood prediction using a globally aggregated disaster database

Global flood reporting has generally improved over the last century, particularly as global disasterdatabases have started archiving and aggregating flood events. While these disaster databases,including EM-DAT, DFO, HANZE, and UNDRR, are helpful tools for flood analysis, they areoften incomplete in their reporting.
Bailey Magers, Nasser Najibi, Naresh Devineni   +2 more
openaire   +1 more source

Enhancing the SPDE modeling of spatial point processes with INLA, applied to wildfires. Choosing the best mesh for each database

Communications in Statistics Part B: Simulation and Computation, 2021
Pablo Juan
exaly  

Bayesian spatial modelling of geostatistical data using INLA and SPDE methods: A case study predicting malaria risk in Mozambique

Spatial and Spatio-temporal Epidemiology, 2021
Paula Moraga, Christopher B C Dean, Piotr Morawiecki   +2 more
exaly  

Predicting outflow ratios on rainfall estimation through the SPDE approach with R-INLA

都市計画報告集, 2022
Kazumasa Fujimura, Sadatsugu Nishiura
exaly  

Environmental mapping using Bayesian spatial modelling (INLA/SPDE): A reply to Huang et al. (2017)

Science of The Total Environment, 2018
Geir-Arne Fuglstad, Julien Beguin
openaire   +2 more sources

[Spatial Prediction of Selenium in Soils by Using INLA-SPDE Approach and the Delimitation of Selenium-enriched Land with Low Heavy Metal Pollution Risk].

Huan jing ke xue= Huanjing kexue
Soil is the main medium for plants， animals， and humans to obtain the selenium element required for growth and development. Rapid economic development has caused serious soil heavy metal pollution， threatening soil environment and human health. Therefore， predicting the spatial distribution of soil selenium elements and delineating "clean and selenium ...
Wei, Wang, Zheng, Wang, Xiang-Yi, Kong, Jian-Shu, Lü   +3 more
openaire   +1 more source